2014
DOI: 10.1088/0964-1726/24/1/015017
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Structural health monitoring of liquid-filled tanks: a Bayesian approach for location of acoustic emission sources

Abstract: Acoustic emission (AE) is a well-established nondestructive testing method for assessing the condition of liquid-filled tanks. Often the tank can be tested without the need for accurate location of AE sources. But sometimes, accurate location is required, such as in the case of follow-up inspections after AE has indicated a significant defect. Traditional computed location techniques that considered only the wave traveling through the shell of the tank have not proved reliable when applied to liquid-filled tan… Show more

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Cited by 17 publications
(9 citation statements)
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“…4, and then the magnitude of the force function is obtained using Eq. (7). The magnitude of dipole force is calculated as 2.258 N. The source function of PLB is represented as a point load (see in Fig.…”
Section: Ae Source Modelsmentioning
confidence: 99%
See 1 more Smart Citation
“…4, and then the magnitude of the force function is obtained using Eq. (7). The magnitude of dipole force is calculated as 2.258 N. The source function of PLB is represented as a point load (see in Fig.…”
Section: Ae Source Modelsmentioning
confidence: 99%
“…The damage initiation is typically identified using the cumulative energy graph of AE signals [6]. The damage location is determined using the time of flight differences of sensor arrays strategically positioned on the structure [7]. However, understanding the quantitative meaning of damage, such as source mechanism from the transient AE signals, is still a challenging research problem.…”
Section: Introductionmentioning
confidence: 99%
“…Lauret et al [62] used this kind of identification method to estimate two convective heat-transfer coefficients of a roofmounted radiant barrier system. Zárate et al [110] presented a Bayesian approach for location of acoustic emission sources in the shell of liquid filled tanks. A different approach using a novel Markov chain Monte Carlo algorithm with the Bayesian method for the identification of a nonlinear dynamical system was proposed by Green [39].…”
Section: Bayesian Methodsmentioning
confidence: 99%
“…The prior probabilities p(xi) and p(σ2) can be stated as the mathematical representation of the engineering judgement on the unknown variables (the impact location and the variance of the measurement) with the purpose of including any available knowledge prior to the application of the monitoring system in real operation [31]. For composite panels in aeronautics, such terms can be built, for instance, by gathering the impact monitoring data from the fleet.…”
Section: A Bayesian Sensor Optimisation Algorithmmentioning
confidence: 99%